NDLI: Fraudulent Call Detection for Mobile Networks

Content Provider	IEEE Xplore Digital Library
Author	Qayyum, Sameer Mansoor, Shaheer Khalid, Adeel Khushbakht Halim, Zahid Baig, A. Rauf
Copyright Year	2010
Abstract	Telecommunication industry has witnessed an enormous growth in terms of number of subscribers and revenue over the past few years. Still there are certain trends in the revenue of the telecommunication that show an instant fall, reason being change in customer behavior. Telecom operators are subjected to fraud in various forms, among the leading are subscription and superimposition fraud. In the U.S the sum of losses caused by fraudulent activity for the telecom industry is over 650 million dollars a year. The aim in this work is to cater the subscription fraud and bring the figures well within the desired range. In this work we use machine learning techniques to address the issue. Our solution uses a neural network to detect fraudulent behavior for subscription fraud. The neural network takes as input time series data of individual customers to predict their normal behavior. The crucial aspects of the network's predictions being accurate are the fraud profiles; some test cases are created which are used to make the neural network learn a fraudulent behavior.
Starting Page	1
Ending Page	5
File Size	234407
Page Count	5
File Format	PDF
ISBN	9781424459414
e-ISBN	9781424459438
DOI	10.1109/ICISA.2010.5480355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-21
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Neurons Artificial neural networks Mobile communication Telecommunications Data mining
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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